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Datasets:
mib-bench
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copycolors_mcqa

Tasks:
Question Answering
Modalities:
Tabular
Text
Formats:
json
Languages:
English
Size:
1K - 10K
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metadata
license: apache-2.0
task_categories:
  - question-answering
language:
  - en
pretty_name: CopyColors MCQA
size_categories:
  - n<1K
configs:
  - config_name: 2_answer_choices
    data_files:
      - split: train
        path: 2_answer_choices/train.jsonl
      - split: validation
        path: 2_answer_choices/validation.jsonl
      - split: test
        path: 2_answer_choices/test.jsonl
  - config_name: 3_answer_choices
    data_files:
      - split: train
        path: 3_answer_choices/train.jsonl
      - split: validation
        path: 3_answer_choices/validation.jsonl
      - split: test
        path: 3_answer_choices/test.jsonl
  - config_name: 4_answer_choices
    data_files:
      - split: train
        path: 4_answer_choices/train.jsonl
      - split: validation
        path: 4_answer_choices/validation.jsonl
      - split: test
        path: 4_answer_choices/test.jsonl
  - config_name: 5_answer_choices
    data_files:
      - split: train
        path: 5_answer_choices/train.jsonl
      - split: validation
        path: 5_answer_choices/validation.jsonl
      - split: test
        path: 5_answer_choices/test.jsonl
  - config_name: 6_answer_choices
    data_files:
      - split: train
        path: 6_answer_choices/train.jsonl
      - split: validation
        path: 6_answer_choices/validation.jsonl
      - split: test
        path: 6_answer_choices/test.jsonl
  - config_name: 7_answer_choices
    data_files:
      - split: train
        path: 7_answer_choices/train.jsonl
      - split: validation
        path: 7_answer_choices/validation.jsonl
      - split: test
        path: 7_answer_choices/test.jsonl
  - config_name: 8_answer_choices
    data_files:
      - split: train
        path: 8_answer_choices/train.jsonl
      - split: validation
        path: 8_answer_choices/validation.jsonl
      - split: test
        path: 8_answer_choices/test.jsonl
  - config_name: 9_answer_choices
    data_files:
      - split: train
        path: 9_answer_choices/train.jsonl
      - split: validation
        path: 9_answer_choices/validation.jsonl
      - split: test
        path: 9_answer_choices/test.jsonl
  - config_name: 10_answer_choices
    data_files:
      - split: train
        path: 10_answer_choices/train.jsonl
      - split: validation
        path: 10_answer_choices/validation.jsonl
      - split: test
        path: 10_answer_choices/test.jsonl

This dataset consists of formatted n-way multiple choice questions, where n is in [2,10]. The task itself is simply to copy the prototypical color from the context and produce the corresponding color's answer choice letter.

The "prototypical colors" dataset instances themselves come from Memory Colors (Norland et al. 2021) and corypaik/coda (instances whose object_group is 0, indicating participants agreed on a prototypical color of that object).